As a Senior AI Engineer at PoliceAI, you will lead the design, development, and deployment of AI-enabled products, translating policing needs into technical solutions. You will work with multidisciplinary teams to build secure, maintainable, and scalable services, and support the testing, evaluation, and validation of AI products.
As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.
This role involves developing and maintaining production-grade Python services for Generative AI and RAG solutions. Responsibilities include building and integrating LLM workflows, implementing retrieval and evidence processing, and optimizing response quality and performance.
You'll lead and contribute to technically challenging R&D projects, designing and building production-quality software to detect and respond to cyber threats. The role involves shaping technical direction, mentoring other engineers, and turning prototypes into scalable solutions.
This role involves designing and developing Python backend services and APIs using FastAPI, building Generative AI and Agentic AI applications, and integrating LLMs with enterprise applications. You will work with AWS services, CI/CD pipelines, and collaborate with experienced AI engineers and architects to deliver secure, scalable AI solutions.
This role involves developing and enhancing AI-driven document processing capabilities using Python, working closely with cross-functional teams to deliver scalable and robust solutions. The engineer will focus on building and maintaining core components of the IDP platform, contributing to the product roadmap and exploring the latest AI technologies.
As a Senior Software Engineer in Medtronic's AI and Data Science Platform team, you will design, build, and maintain software solutions that enable machine learning engineers and data scientists to develop new products. You will work on a SaaS tool for project, data, and annotation management, collaborate with data and platform engineers, and ensure high-quality, scalable software delivery.
This role involves prototyping and developing innovative cybersecurity solutions using AI, with a focus on enhancing Darktrace’s platform to detect and respond to unknown threats. You’ll work in a cross-functional R&D team, balancing creative exploration with structured development of scalable features. The position emphasizes ownership of novel projects, collaboration, and advancing core capabilities in Python and containerized environments.
Develop AI-driven video processing solutions within a deep tech environment, focusing on scalable media delivery and real-time systems. Work with Python and modern cloud infrastructure, integrating AI and video technologies to enhance content delivery. Collaborate on building maintainable, tested software for immersive media platforms.
This role involves building production applications and APIs using Python and FastAPI, developing LLM, RAG, and AI agent solutions, and working with vector databases. You'll collaborate with engineers, architects, and client stakeholders to take GenAI POCs into production and scale them.
Lead a growing engineering team while shaping the technical direction of AI-powered broadband products. Design scalable architectures, integrate LLMs with vector search and automation tools, and solve national-scale connectivity challenges using Laravel, React, Python, and AWS. Mentor junior engineers and drive innovation in a high-growth startup environment.
Lead the design and deployment of enterprise AI and data transformation initiatives in highly regulated sectors, focusing on secure, scalable production systems. Guide technical roadmaps, mentor cross-functional teams, and ensure compliance with governance and security standards. Work across AI/ML, generative AI, and cloud platforms to deliver end-to-end solutions from concept to operation.
You will architect and develop production-quality C++ components and APIs for NVIDIA’s AI-powered developer-tools ecosystem, focusing on performance, reliability, and integration with Genie’s retrieval and agentic capabilities. You will work closely with multidisciplinary teams to drive technical initiatives from early exploration to production deployment, while mentoring engineers and establishing best practices.
You will architect and develop production-quality C++ components and integrations for NVIDIA’s AI-powered developer-tools ecosystem, focusing on performance, reliability, and maintainable interfaces. You will also contribute to agentic workflows, retrieval systems, and enterprise integrations, working closely with multidisciplinary teams.
This role involves designing, developing, and operating modern AI platforms and MLOps systems, focusing on Python ecosystems, Kubernetes, and MLOps tooling. You will work in a specialist team on a significant AI and MLOps transformation programme, collaborating across development, platform engineering, and operational teams.
The role involves designing and building AI systems using LLMs, RAG, and related technologies, while working closely with research and engineering teams. Responsibilities include developing and maintaining high-quality production software, architecting microservice-based systems, and providing technical guidance to junior engineers.
The role involves software testing, software releases, and customer support for an AI startup. You will work with Python, Bash, Linux, Docker, and AWS, and have the opportunity to develop skills in automation, cloud, and edge technologies in a fast-moving, collaborative environment.
